Python Jobs

Find remote positions requiring Python skills. Browse through opportunities where you can utilize your expertise and grow your career.

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🔥 Engineering Tech Lead

Posted 2024-11-21

📍 AL, FL, GA, TN, NC, DE, MD, PA, TX, VA, DC, CA, NY

🧭 Full-Time

💸 112915 - 227226 USD per year

🔍 Software Development

BS/MS/MEng in Computer Science, Information Systems, or related field.
Minimum of 10 years of experience with implementing microservices at large scale.
4-5 years of technical management or leadership experience.
Hands-on coding experience within the last 1-2 years.
Demonstrated full stack development skills across multiple languages.

Coordinate technical aspects of development, including architectural, operational, security, and testing activities.
Mentor engineers and review their work for adherence to standards.
Set the team's technical direction and implementation strategy.
Collaborate with various stakeholders to ensure alignment on technical plans.
Orchestrate all phases of the development lifecycle.

AWS Leadership Node.js Python Software Development Agile Bash Design Patterns Full Stack Development Java Javascript Kafka Ruby SCRUM TypeScript JavaScript Jira Strategy Go .NET React DevOps Microservices

Posted 2024-11-21

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🔥 Staff Machine Learning Engineer, Ads Optimization

Posted 2024-11-21

📍 United States, Canada

🧭 Full-Time

💸 230000 - 322000 USD per year

🔍 Advertising technology

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners.
Experience designing optimization algorithms in an ad serving platform and/or other marketplaces.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
Familiarity with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
Experience with a cloud service provider like AWS or GCP.
Knowledge of tools like Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
Experience with datastores such as ElasticSearch/Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

AWS Docker Python ElasticSearch GCP Java Kafka Kubernetes Machine Learning PyTorch C++Airflow Algorithms Cassandra Elasticsearch Go Postgres Redis Spark Tensorflow

Posted 2024-11-21

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🔥 Staff Data Engineer, Ads

Posted 2024-11-21

📍 US

🧭 Full-Time

💸 206700 - 289400 USD per year

🔍 Social media / Online community

MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
7+ years of experience with large-scale ETL systems, building clean, maintainable, object-oriented code (Python preferred).
Strong programming proficiency in Python, SQL, Spark, Scala.
Experience with data modeling, ETL concepts, and manipulating large structured and unstructured data.
Experience with data workflows (e.g., Airflow) and data visualization tools (e.g., Looker, Tableau).
Deep understanding of technical and functional designs for relational and MPP databases.
Proven track record of collaboration and excellent communication skills.
Experience in mentoring junior data scientists and analytics engineers.

Act as the analytics engineering lead within Ads DS team and contribute to data science data quality and automation initiatives.
Ensure high-quality data through ETLs, reporting dashboards, and data aggregations for business tracking and ML model development.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Create user-friendly tools for internal use across Data Science and cross-functional teams.
Lead efforts to build a data-driven culture by enabling data self-service.
Provide mentorship and coaching to data analysts and act as a thought partner for data teams.

Leadership Python SQL Data Analysis ETL Tableau Strategy Airflow Data analysis Data engineering Data science Spark Communication Skills Collaboration Mentoring Coaching

Posted 2024-11-21

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🔥 Head of Cyber Insurance Pricing

Posted 2024-11-21

📍 UK, Mexico, India, US

🔍 Cyber Insurance

7+ years of experience in property & casualty insurance focusing on pricing and risk modeling.
Proven experience in cyber insurance or technology-related risks preferred.
Fellow of the Institute and Faculty of Actuaries (FIA) or Chartered Enterprise Risk Actuary (CERA) designation preferred.
Strong experience in data analytics, predictive modeling, and working with large data sets like R, Python, SAS.
In-depth knowledge of regulatory requirements related to insurance pricing and compliance.
Excellent communication skills for collaboration with technical experts and conveying actuarial insights.
Familiarity with reinsurance structures and negotiations.

Develop and refine pricing models for cyber insurance products using internal and external data.
Lead creation of predictive models for loss frequency and severity related to software vulnerabilities.
Collaborate with internal software risk experts to integrate vulnerability risk assessments into pricing.
Ensure compliance with insurance regulations across various markets.
Manage relationships with reinsurers and optimize reinsurance deals.
Provide insights on capital allocation for risk retention and reinsurance strategies.
Stay ahead of industry trends and regulatory changes.
Lead and mentor a growing team of actuarial and risk analysts.

Python Strategy Communication Skills Compliance

Posted 2024-11-21

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🔥 ML Engineer - AI Platform

Posted 2024-11-21

📍 San Francisco, New York

🧭 Full-Time

💸 149000 - 350000 USD per year

🔍 Design technology

🏢 Company: Figma

Expertise building infrastructure for AI/ML model development in industry.
Experience in software development in Python; experience in languages like C/C++ is nice to have but not required.
Expertise working closely with AI researchers on applied AI projects to build high quality models in a fast paced environment.
Expertise improving datasets and evaluation metrics for applied ML projects.
Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
Experience communicating and working across functions to drive solutions.

Build data pipelines to collect high quality training and evaluation data for developing AI models.
Build annotation pipelines to collect ground truth using humans and AI models in the loop.
Collaborate closely with AI product engineers to define requirements for AI features.
Collaborate closely with AI researchers to identify failure cases, improve data sets, evaluation metrics and hill climb quality of AI models.
Work closely with AI infra engineers to build the right infrastructure for AI model development and inference.
Explore the boundaries of what is possible with the current technology set and experiment with novel ideas.

Python Software Development Written communication

Posted 2024-11-21

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🔥 Senior Cloud Engineer - Remote (MST/CST/EST Region Time Zones)

Posted 2024-11-21

📍 United States

💸 110000 USD per year

🔍 Healthcare technology solutions

🏢 Company: Acentra Health

Bachelor’s degree with 6–8 years or Master’s degree with 4–6 years of relevant work experience.
Proficiency in JIRA, Confluence, and version control tools.
Extensive knowledge of Linux and AWS DevOps tools.
Familiarity with scripting languages and automation tools.
AWS certification and advanced Linux skills are preferred.

Functions as an individual contributor under minimal supervision.
Demonstrates expertise in AWS services and applies knowledge of Kubernetes.
Utilizes IAC tools for automated infrastructure provisioning.
Collaborates to maintain DevOps processes and best practices.
Maintains CI/CD pipelines and performs code reviews.
Participates in process improvement initiatives.

AWS Docker Python Bash Git Jenkins Kubernetes Jira Azure Groovy Maven RDBMS Collaboration CI/CD Linux DevOps Terraform Microservices

Posted 2024-11-21

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🔥 DevOps (MLOps) Engineer

Posted 2024-11-21

📍 United States

🏢 Company: ARFA Solutions, LLC

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
5+ years of experience in DevOps or MLOps roles.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proficiency in programming languages such as Python, R, or Java.
Strong understanding of cloud platforms (AWS, Azure, or GCP) and their machine learning services.
Experience with containerization technologies, particularly Docker, and orchestration tools like Kubernetes.
Knowledge of CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps.
Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow.
Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.

Design, implement, and manage MLOps pipelines for deploying and monitoring machine learning models.
Collaborate with data scientists to understand model requirements and operationalize models into production environments.
Automate model training, testing, and deployment processes through CI/CD principles.
Monitor and evaluate model performance in production and implement solutions for improvement.
Implement data versioning, model versioning, and tracking systems to ensure reproducibility.
Ensure security and compliance in the deployment of machine learning models.
Document processes and improve collaboration between teams for efficient workflows.
Stay up-to-date with industry trends and technologies in MLOps and machine learning.

AWS Docker Python Apache Airflow GCP Java Jenkins Kubeflow Kubernetes Machine Learning PyTorch Airflow Azure Data science Tensorflow Analytical Skills Collaboration CI/CD DevOps Compliance

Posted 2024-11-21

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🔥 Program Manager- Compensation

Posted 2024-11-21

📍 United States

🧭 Full-Time

🔍 Equipment Rental and Software

🏢 Company: EquipmentShare

4+ years of experience in compensation with a focus on technical requirements and analyzing compensation structures and programs.
SQL experience.
Workday experience.
Python experience.
Bachelor's degree in a related field such as Accounting, Finance, Psychology, Statistics, Economics, Computer Science, or Mathematics.
Expert-level Microsoft Excel or Google Sheets skills.
Ability to thrive in a fast-paced environment and adapt as project visions, priorities, and timelines shift.

Serve as a People Analytics compensation subject matter expert, partnering with leaders to transform the compensation program.
Assist with various analytical-based tasks to ensure competitive and compliant compensation practices.
Support the development, implementation, and administration of pay structures, policies, and programs.
Influence key leaders in the organization.
Analyze compensation-related issues for internal equity.

Leadership Python SQL Microsoft Excel

Posted 2024-11-21

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🔥 Senior Software Engineer - Backend & Microservices (W/M/NB)

Posted 2024-11-21

📍 Saint Mandé

🔍 Gaming

Experience in Software/Data engineering or a related field.
Solid experience with Python or Rust.
Experience building and interacting with REST APIs.
Familiarity with microservice architecture and API design.
Previous experience using cloud technology, Kubernetes, and AWS/Azure.
Knowledge of Machine Learning and Deep Learning.
Experience in deploying models to production.
Good communication skills and the ability to work collaboratively.

Take ownership over the projects you build and push them ahead.
Design, prototype, build, and maintain microservices & APIs for data and model delivery.
Build pipelines and batch processes to move and transform data.
Manage scalable infrastructure in the cloud.
Work on quality improvements and proof-of-concept projects.
Write, optimize, and produce high-quality code for scalability using modern best practices.
Collaborate with data and machine learning engineers to deploy models or prediction pipelines to production.

AWS Python Kubernetes Machine Learning Azure Data engineering Rust Communication Skills Collaboration Microservices

Posted 2024-11-21

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🔥 Senior Product Data Analyst

Posted 2024-11-21

📍 India

🧭 Full-Time

🔍 HR Tech

🏢 Company: Multiplier

5+ years of experience in product analytics, data analysis, or a similar role, ideally within a startup or fast-paced environment.
Strong proficiency in SQL, Python/R, and advanced Excel.
Experience with data visualization tools (e.g., Tableau, Looker, Power BI, Metabase).
Experience with A/B testing and statistical analysis is greatly appreciated.
Solid understanding of product metrics (e.g., engagement, retention, conversion) and experience with tools like Mix-panel, Amplitude, or Google Analytics.
Ability to communicate complex data insights to non-technical stakeholders.
Experience working in cross-functional teams with Product Managers, Designers, Engineers, and Business Stakeholders.
Critical thinker and problem solver with a passion for data and innovation.
Bachelor's or Master’s degree in a relevant field (e.g., Data Science, Statistics, Economics, Computer Science, Business Analytics) from a top-tier university is preferred.
Familiarity with product development cycles and agile methodologies, and prior experience in a high-growth startup environment.

Develop a deep understanding of core products and technologies within HR tech space.
Monitor, analyze, and report on key product metrics to evaluate performance, user engagement, and retention.
Provide actionable insights and recommendations to product teams to drive product improvements and growth.
Work closely with Product Managers, Engineers, and Designers to help prioritize and refine product initiatives based on data insights.
Build and maintain interactive dashboards for tracking real-time product performance and key metrics for stakeholders.
Conduct market analysis and stay up to date with industry trends, competitor products, and best practices.
Deep dive into user behaviour to identify trends, patterns, and opportunities for feature development and optimization.

Python SQL Agile Data Analysis Google Analytics Tableau Product Development Product Analytics Data analysis Data science Collaboration Agile methodologies

Posted 2024-11-21

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